Abstract
Quality of housing plays one of the key roles in a public health research, since inadequate housing may have direct or indirect
negative impact on health. Higher satisfaction with housing was shown to be associated with higher income, higher age, a smaller
family, higher education, being female and being an owner of a dwelling. The aim of our study is to identify the multiple
sources of the satisfaction with housing in population of urban slums and rural areas in Dhaka, Bangladesh. We have used a
combined variable “Housing Satisfaction”, containing nine items related to satisfaction with different types of housing facilities
(water, electricity, toilet etc.). Ordinal as well as binary multiple logistic regression models were applied to predict housing
satisfaction. Rural residents (with 90 % house ownership) were much more satisfied with their housing than urban slum dwellers.
Those respondents who perceived their area as “Very bad/Bad” to reach medical care reported significantly higher levels of
housing dissatisfaction. Low satisfaction with available facilities (education, health services, etc.) as well as the adjacent
neighbourhood being perceived as negative for own health showed as well a strong predictive effect on housing dissatisfaction.
The major findings of our study showed a complex relationship between housing satisfaction and the quality of basic facilities
including the reachability of medical care. Understanding the factors which lead to satisfaction with housing and residential
environment is crucial for planning successful and effective housing policies.
negative impact on health. Higher satisfaction with housing was shown to be associated with higher income, higher age, a smaller
family, higher education, being female and being an owner of a dwelling. The aim of our study is to identify the multiple
sources of the satisfaction with housing in population of urban slums and rural areas in Dhaka, Bangladesh. We have used a
combined variable “Housing Satisfaction”, containing nine items related to satisfaction with different types of housing facilities
(water, electricity, toilet etc.). Ordinal as well as binary multiple logistic regression models were applied to predict housing
satisfaction. Rural residents (with 90 % house ownership) were much more satisfied with their housing than urban slum dwellers.
Those respondents who perceived their area as “Very bad/Bad” to reach medical care reported significantly higher levels of
housing dissatisfaction. Low satisfaction with available facilities (education, health services, etc.) as well as the adjacent
neighbourhood being perceived as negative for own health showed as well a strong predictive effect on housing dissatisfaction.
The major findings of our study showed a complex relationship between housing satisfaction and the quality of basic facilities
including the reachability of medical care. Understanding the factors which lead to satisfaction with housing and residential
environment is crucial for planning successful and effective housing policies.
- Content Type Journal Article
- Pages 1-23
- DOI 10.1007/s11205-012-0045-5
- Authors
- Arina Zanuzdana, Department of Public Health Medicine, School of Public Health, University of Bielefeld, Universitätstr. 25, 33604 Bielefeld, Germany
- Mobarak Khan, Department of Public Health Medicine, School of Public Health, University of Bielefeld, Universitätstr. 25, 33604 Bielefeld, Germany
- Alexander Kraemer, Department of Public Health Medicine, School of Public Health, University of Bielefeld, Universitätstr. 25, 33604 Bielefeld, Germany
- Journal Social Indicators Research
- Online ISSN 1573-0921
- Print ISSN 0303-8300